Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Horizon Strategy

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are looking for a visionary Senior AI Architect to lead our 2026 Horizon Strategy. In this pivotal role, you will define the technical roadmap for our next-generation agentic AI systems, ensuring we remain at the forefront of the artificial intelligence revolution. You will bridge the gap between cutting-edge research and scalable production engineering, building the infrastructure that powers the future of human-machine interaction.


Why Join Nexus Horizon?

  • Shape the Future: Directly influence the architecture that defines the AI landscape in 2026 and beyond.
  • Elite Team: Work alongside PhDs, industry veterans, and thought leaders in Silicon Valley.
  • Competitive Compensation: Top-tier salary plus equity package.
  • Flexible Work: Hybrid model supporting innovation in both the office and remotely.

If you are passionate about building robust, ethical, and scalable AI systems, we want to hear from you.

Responsibilities

  • Architect and design scalable AI infrastructure for the 2026 roadmap, focusing on generative models and autonomous agents.
  • Lead the technical strategy for integrating quantum-ready algorithms into our current cloud-native stack.
  • Collaborate with cross-functional product and research teams to translate business goals into technical specifications.
  • Mentor junior engineers and architects, fostering a culture of technical excellence and innovation.
  • Ensure system security, compliance, and ethical AI standards are embedded in every layer of the architecture.
  • Optimize model performance and reduce inference costs for large-scale deployments.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Proven track record of leading complex technical projects from conception to production deployment.
  • Strong understanding of Large Language Models (LLMs), RAG pipelines, and vector databases.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Generative AI Distributed Systems Cloud Architecture Kubernetes PyTorch TensorFlow AWS GCP NLP AI Strategy

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All